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Data Quality Assurance Engineer Jobs in Reston, VA

Data QA Engineer

Bethesda, MD ยท On-site +1

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Qualifications Minimum Qualifications * 5+ years of work experience in QA, preferably in data or ...

Data QA Engineer

Bethesda, MD ยท On-site

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Qualifications Minimum Qualifications * 5+ years of work experience in QA, preferably in data or ...

Data Validation & ETL Testing * Validate ETL/ELT pipelines to ensure accurate ingestion ... AI-Driven Quality Engineering * Apply AI/ML and generative AI tools to enhance QA processes ...

Quality Assurance Engineer

Bethesda, MD ยท Hybrid

$120K - $130K/yr

The QA Engineer will work closely with Product, Business Analysts (BAs), Engineers, User Experience ... Develop and execute test strategies and test plans for complex, data-driven applications. * Ensure ...

Everforth ECS Federal is seeking a Quality Assurance Engineer to support a mission-focused federal IT program in Washington DC. Please Note: This position is contingent upon contract award. Join ...

Quality Assurance Engineer

Leesburg, VA ยท On-site

$90K - $110K/yr

We combine quality data-driven solutions that fuel answers, technology that advances performance ... As a QA Engineer at Commence, you will serve as the quality gate for our engineering teams, owning ...

New

Software Quality Assurance Engineer FULL-TIME, WASHINGTON, D.C. About the job Throne aims to provide peace of mind to those that venture out each day -- making it so no one has to worry about finding ...

Quality Assurance Engineer

Rockville, MD ยท On-site +1

$120K - $130K/yr

The QA Engineer will work closely with Product, Business Analysts (BAs), Engineers, User Experience ... Develop and execute test strategies and test plans for complex, data-driven applications. * Ensure ...

Software Quality Assurance Engineer FULL-TIME, WASHINGTON, D.C. About the job Throne aims to provide peace of mind to those that venture out each day -- making it so no one has to worry about finding ...

Quality Assurance Engineer

Rockville, MD ยท Hybrid

$120K - $130K/yr

The QA Engineer will work closely with Product, Business Analysts (BAs), Engineers, User Experience ... Develop and execute test strategies and test plans for complex, data-driven applications. * Ensure ...

QA Engineer

Mclean, VA ยท On-site

Job Title: QA Engineer Company: BLN24 About Us:We find strength in teamwork-a better you is a ... Validate end-to-end workflows, including form submission, data processing, and notice/document ...

QA Engineer

Fairfax, VA ยท On-site

Job Title: QA Engineer Duration: 6-12 Months Location: Fairfax, VA Description: 8+ Years experience Selenium experience Javascript, Python etc. Telecom experience in needed Thank You, Ashok Kumar ...

New

QA Engineer

Mclean, VA ยท On-site

BLN24 is seeking a QA Engineer to support the development and maintenance of Adobe Experience ... Validate end-to-end workflows, including form submission, data processing, and notice/document ...

Quality Assurance Engineer

Gaithersburg, MD ยท Remote

$84K - $109K/yr

We are hiring a Quality Assurance Engineer to support our rapid customer growth. Do you thrive on ... Effective communicator with data at all levels of the organization * Effective facilitator of cross ...

QA Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position ... Data Science, Systems Engineering, Cybersecurity, Information Systems, Quality Management, etc.

QA Engineer

Tysons, VA ยท On-site

QA Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... Data Science, Systems Engineering, Cybersecurity, Information Systems, Quality Management, etc.

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Data Quality Assurance Engineer information

See Reston, VA salary details

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$81

How much do data quality assurance engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data quality assurance engineer in Reston, VA is $50.50, according to ZipRecruiter salary data. Most workers in this role earn between $39.76 and $57.79 per hour, depending on experience, location, and employer.

What is the difference between Data Quality Assurance Engineer vs Data Analyst?

AspectData Quality Assurance EngineerData Analyst
Primary FocusEnsuring data accuracy, integrity, and quality through testing and validation processesAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsKnowledge of data testing tools, SQL, data management, and quality standardsProficiency in data analysis tools, SQL, Excel, and visualization software
Work EnvironmentOften part of data engineering or QA teams within IT or data departmentsTypically within business intelligence, marketing, or analytics teams

While both roles work with data, the Data Quality Assurance Engineer focuses on validating and maintaining data quality, whereas the Data Analyst interprets data to provide insights. They often collaborate but serve different functions in data management and analysis processes.

What are the key skills and qualifications needed to thrive as a Data Quality Assurance Engineer, and why are they important?

To thrive as a Data Quality Assurance Engineer, you need strong analytical skills, attention to detail, and a background in computer science or a related field. Familiarity with SQL, data profiling tools, automation frameworks, and certifications like ISTQB are commonly required. Excellent problem-solving, communication, and collaboration skills set top performers apart in this role. These competencies are vital for ensuring data integrity, driving process improvements, and supporting business decision-making with reliable information.

What does a data QA engineer do?

A data QA engineer is responsible for ensuring the accuracy, consistency, and quality of data within an organization. They develop testing procedures, use tools to validate data integrity, and collaborate with data teams to identify and resolve data issues, often working with databases and data validation software. Strong analytical skills and knowledge of data management are essential for this role.

What does a Data Quality Assurance Engineer do?

A Data Quality Assurance Engineer is responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They design and implement tests, validation processes, and quality checks to identify and resolve data errors or inconsistencies. Their work helps maintain high-quality data standards, which is crucial for informed decision-making and effective business operations. Additionally, they collaborate with data engineers and analysts to establish data quality metrics and best practices.

What are some common challenges faced by Data Quality Assurance Engineers when working with large datasets?

Data Quality Assurance Engineers often encounter challenges such as data inconsistency, incomplete records, and discrepancies across multiple data sources when handling large datasets. Ensuring data integrity requires meticulous validation and a strong understanding of both automated and manual testing techniques. Collaboration with data engineers, analysts, and business stakeholders is essential to identify root causes of quality issues and to implement effective solutions. Staying adaptable and detail-oriented helps address evolving data requirements and maintain high standards of data accuracy.

What engineers make $300,000 a year?

Senior data quality assurance engineers with extensive experience, advanced skills in data management tools, and certifications can earn salaries approaching or exceeding $300,000 annually, especially in high-demand industries or senior leadership roles. Compensation varies based on location, company size, and individual expertise.

Is QA Engineer still in demand?

The demand for Data Quality Assurance Engineers remains strong as organizations prioritize data accuracy and integrity for decision-making. Skills in data validation, testing tools, and understanding data pipelines are highly valued, and the role is expected to grow with increasing data-driven initiatives.

What engineers make $500,000?

Senior data quality assurance engineers with extensive experience, specialized skills in data validation, automation tools, and certifications can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or senior leadership roles. Achieving this level often requires advanced expertise, leadership responsibilities, and a strong track record of improving data integrity and quality processes.
What are popular job titles related to Data Quality Assurance Engineer jobs in Reston, VA? For Data Quality Assurance Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Quality Assurance Engineer jobs in Reston, VA look for? The top searched job categories for Data Quality Assurance Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Quality Assurance Engineer jobs? Cities near Reston, VA with the most Data Quality Assurance Engineer job openings:
Infographic showing various Data Quality Assurance Engineer job openings in Reston, VA as of July 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 57% In-person, and 43% Remote job distribution, with an average salary of $105,044 per year, or $50.5 per hour.
Data QA Engineer

Data QA Engineer

Ex Parte, Inc

Bethesda, MD โ€ข On-site, Remote

$122K - $146K/yr

Full-time

Re-posted 5 days ago


Job description

Company Description
Ex Parte provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations.
We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren't predefined.
Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago.
We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball.
Job Description
Responsibilities
  • Take ownership of end to end data quality
    • Understand and Contribute to the event model design
    • Build and automate testing frameworks around data ingestion pipelines.
    • Write complex SQL queries on tables with hundreds of millions of records and ensure data integrity is maintained throughout the ETL lifecycle.
    • Design test cases and write python/SQL scripts to validate data integrity and identify gaps and opportunities in our pipelines.
    • Track data issues and work with team leads from discovery to resolution.
  • Collaborate with the analytic teams to conduct data quality investigations, improve automation and tools.
  • Review current tools and enhance them to help with data integrity.

Qualifications
Minimum Qualifications
  • 5+ years of work experience in QA, preferably in data or relevant space
  • Demonstrable knowledge, experience, skill, and proficiency with the following:
    • Scrum/Agile methodologies
    • SDLC
    • Python (at least reading)
    • SQL
  • Experience with different facets of QA tests such as functional progression & regression, integration, performance, load, UAT, and operational readiness testing
  • Must be self-motivated, able to work independently, and thrive in a fast-paced, multi-tasking, high productivity environment while maintaining excellent working relationships with people in a wide variety of functional areas
  • Excellent verbal and written communication skills

Preferred Qualifications
  • Applied experience with Databricks and/or Azure ML
  • Strong coding abilities in one or more scripting languages like Python or SQL
  • Understanding of compliance, security, and risk domains along with associated patterns and data elements
  • Use of one of the following vendor reporting solutions: PowerBI or Tableau
  • Understanding of product and services activation, use, and transaction models and data
  • Understanding of statistical analysis and machine learning tools and practices
  • Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc
  • Familiarity with Agile software delivery including application lifecycle mgmt (Jira/Azure DevOps/VSTS, Git).

Additional Information
All your information will be kept confidential according to EEO guidelines.